Application Guide

How to Apply for Data Engineer – Databricks

at Air Products

🏢 About Air Products

Air Products is a global industrial gases leader pioneering clean hydrogen projects for a zero-carbon energy future, making it uniquely positioned at the forefront of sustainable energy innovation. Working here means contributing directly to climate solutions while leveraging cutting-edge data technology in a remote-first environment focused on India-based talent.

About This Role

This Data Engineer role focuses on building and scaling cloud-native data platforms using Databricks on AWS, specifically migrating enterprise workloads to Databricks while implementing data quality and governance. The position is impactful because it directly supports Air Products' clean hydrogen initiatives by enabling robust data infrastructure for critical energy projects.

💡 A Day in the Life

A typical day involves designing and implementing Databricks data pipelines using PySpark, collaborating with cross-functional teams on migrating AWS workloads to Databricks, and implementing data quality checks while ensuring security compliance for clean hydrogen project data. You'll spend time optimizing Delta Lake tables, writing Terraform configurations for infrastructure, and participating in remote stand-ups to align data platform development with sustainability initiatives.

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🎯 Who Air Products Is Looking For

  • Has 4-6+ years of hands-on Databricks on AWS experience with proven ability to migrate enterprise data workloads
  • Demonstrates advanced PySpark expertise for developing and optimizing data pipelines in cloud environments
  • Possesses practical experience with Terraform (IAC), Delta Lake implementation, and data security/governance best practices
  • Understands how data engineering supports clean energy initiatives and can articulate this connection

📝 Tips for Applying to Air Products

1

Quantify your Databricks migration experience - specify volumes, complexity, and business impact of previous AWS-to-Databricks projects

2

Highlight any experience with energy, industrial, or sustainability-related data projects that align with Air Products' clean hydrogen focus

3

Include specific examples of implementing data quality frameworks and governance in Databricks environments

4

Demonstrate your Terraform expertise by mentioning specific infrastructure-as-code patterns you've implemented for Databricks

5

Showcase your remote collaboration experience, particularly in distributed teams working on complex data platform migrations

✉️ What to Emphasize in Your Cover Letter

['Your specific experience migrating enterprise data workloads from AWS to Databricks, including challenges overcome', 'How your data engineering work has supported sustainability or industrial projects similar to clean hydrogen initiatives', 'Examples of implementing data governance and security in Databricks environments', 'Your ability to work effectively in remote teams while managing complex data platform migrations']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Air Products' specific clean hydrogen projects and partnerships (like NEOM in Saudi Arabia or various US initiatives)
  • → The company's sustainability goals and how data supports their 'First Movers' framework for decarbonization
  • → Their technology stack beyond Databricks - research their overall data strategy and cloud infrastructure approach
  • → Recent news about Air Products' expansion in India and their remote work culture for technical teams

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk through a specific Databricks migration project from AWS, including technical decisions and business outcomes
2 How would you implement data quality monitoring and governance in a Databricks environment for sensitive energy project data?
3 Describe your experience with Terraform for Databricks infrastructure and Delta Lake optimization techniques
4 How do you approach performance tuning of PySpark jobs in Databricks, particularly for large-scale industrial data?
5 What interests you about applying data engineering to clean hydrogen projects specifically?
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⚠️ Common Mistakes to Avoid

  • Generic Databricks experience without specific AWS migration examples or Terraform implementation details
  • Focusing only on technical skills without connecting to business impact or sustainability context
  • Failing to demonstrate understanding of data governance requirements for industrial/energy sector data

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to Air Products!

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